Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xuedai-mayi/envi-classic-remote-sensing --skill remote-sensing-reportgit clone --depth 1 https://github.com/xuedai-mayi/envi-classic-remote-sensingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xuedai-mayi/envi-classic-remote-sensing/remote-sensing-report)<a href="https://agentmods.dev/skills/xuedai-mayi/envi-classic-remote-sensing/remote-sensing-report"><img src="https://agentmods.dev/badge/skills/xuedai-mayi/envi-classic-remote-sensing/remote-sensing-report/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xuedai-mayi/envi-classic-remote-sensing/remote-sensing-report"><img src="https://agentmods.dev/badge/skills/xuedai-mayi/envi-classic-remote-sensing/remote-sensing-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00105 | $0.02126 |
| Opus 5 | $0.00053 | $0.01063 |
| Sonnet 5 | $0.00021 | $0.00425 |
| Haiku 4.5 | $0.00011 | $0.00213 |
Grade A, and why
remote-sensing-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remote Sensing Experiment Report Skill
Use this skill to turn a Chinese remote sensing experiment guide plus a student's rough draft into a polished Word report. The report should look like a formal lab report, not a screenshot dump.
Core Contract
Follow the user's newest constraints first. In the common workflow from this skill:
- Use the report template as the formatting authority.
- Use the experiment guide as the technical authority for objectives, steps, formulas, and thinking questions.
- Use the student's draft as the evidence/source for screenshots, intermediate outputs, and observed values.
- Preserve all user-supplied facts, formulas, thresholds, and image order unless the guide or draft clearly contradicts them.
- Do not invent experimental results. If a result is not shown in the draft or guide, describe the method and limitation instead.
When the user says images must come from the draft, treat that as strict:
- Use only images embedded in the draft document.
- Do not use Python, Pillow, OpenCV, or any bitmap tool to crop, enhance, resize, stitch, combine, annotate, recolor, compress manually, or make contact sheets.
- It is acceptable to set display width in Word so the original image fits the page; this is document layout, not image processing.
- For a comparison, place two separate original image objects side by side or one above the other in Word. Do not create a composite image file.
- Add captions only after understanding each image from the surrounding draft text and guide context.
- Verify final DOCX media hashes against the draft media when possible.
Required Inputs
Expect some or all of these files:
- Report template:
.docor.docx, often named实验报告模板.doc. - Experiment guide: usually
.pdf, often named like实验十一：彩色图像分割-1.pdf. - Draft:
.docx, often named草稿.docx, containing rough notes and screenshots. - Optional data folder: original images used in the experiment.
If a legacy .doc template is provided, convert it to .docx with Microsoft Word or LibreOffice before editing. Do not overwrite the original template.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 219 lines · 105 tokens per session scan A 412da88721d8
remote-sensing-report is a skill published in the GitHub repository xuedai-mayi/envi-classic-remote-sensing (1 stars, last pushed 1mo ago), licensed MIT. It adds 105 tokens to every session and 2,126 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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